مرتضي ترقي اوغاز

Facing the dual challenges of energy security an‎d climate change, this research focuses on the design, analysis, an‎d optimization of a novel polygeneration system based on renewable biomass an‎d solar resources. The main innovation of this system lies in the synergy of advanced technologies. A Liquid Air Energy Storage unit is integrated with a cryogenic carbon dioxide capture process. By leveraging the inherent high-pressure an‎d low-temperature conditions of the LAES process, the energy penalty associated with the separation process is significantly reduced. Furthermore, the integration of a biomass gasification unit enhances the 〖CO〗_2 concentration in the inlet stream, thus improving capture efficiency. This system simultaneously produces power, liquid hydrogen, freshwater, an‎d cooling. For performance eva‎luation, a comprehensive modeling study was conducted based on energy, exergy, economic, an‎d environmental analyses. Subsequently, a three-objective optimization was performed using an approach based on Artificial Neural Networks an‎d the NSGA-II genetic algorithm. The objectives were to maximize the round-trip exergy efficiency an‎d the overall carbon dioxide emission reduction rate, while minimizing the specific energy consumption for carbon capture. In the base case, the results showed an exergy efficiency of 28.84% an‎d a payback period of 3.39 years. Following optimization, the systemʹs performance improved significantly, with the exergy efficiency increasing to 43.59% an‎d the payback period decreasing to 2.42 years. At the optimal point, the system is capable of producing a net daily output of 309 MWh of power, 680 kg of hydrogen, an‎d 3993 tons of freshwater. This study demonstrates that the proposed system is a sustainable, cost-effective technical solution an‎d an efficient carbon-negative technology that holds high potential for the decarbonization of the energy an‎d industrial sectors.

سيستم توليد چندگانه , واحد ذخيره‌سازي انرژي هواي مايع , فرآيند جذب برودتي كربن‌دي‌اكسيد , شبكه‌هاي عصبي مصنوعي

Polygeneration System , Liquid Air Energy Storage , Cryogenic Carbon Dioxide Capture Process , Artificial Neural Networks

Morteza Taraghi

Mehdi Moghimi